IEEE

DeepAD-Insight: A Benchmark Evaluation of Deep Learning Architectures for Multiclass Alzheimer’s Disease Classification and Staging from Brain MRI Data

Abstract: Alzheimer’s Disease (AD), a progressive neurode-generative condition, poses a significant public health challenge. Early and precise diagnosis is crucial for timely intervention and ...
IEEE

A Novel Transformer-CNN Hybrid Deep Learning Architecture for Robust Broad-Coverage Diagnosis of Eye Diseases on Color Fundus Images

Abstract: We present a novel and robust deep-learning architecture that takes into account the pathological characteristics of eye diseases on color fundus images. The proposed hybrid architecture is ...
Nature

Machine-learning model generates images using light

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...